• DocumentCode
    1525339
  • Title

    Event detection and analysis from video streams

  • Author

    Medioni, Gérard ; Cohen, Isaac ; Brémond, Francois ; Hongeng, Somboon ; Nevatia, Ramakant

  • Author_Institution
    Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    23
  • Issue
    8
  • fYear
    2001
  • fDate
    8/1/2001 12:00:00 AM
  • Firstpage
    873
  • Lastpage
    889
  • Abstract
    We present a system which takes as input a video stream obtained from an airborne moving platform and produces an analysis of the behavior of the moving objects in the scene. To achieve this functionality, our system relies on two modular blocks. The first one detects and tracks moving regions in the sequence. It uses a set of features at multiple scales to stabilize the image sequence, that is, to compensate for the motion of the observer, then extracts regions with residual motion and uses an attribute graph representation to infer their trajectories. The second module takes as input these trajectories, together with user-provided information in the form of geospatial context and goal context to instantiate likely scenarios. We present details of the system, together with results on a number of real video sequences and also provide a quantitative analysis of the results
  • Keywords
    image sequences; inference mechanisms; motion compensation; remote sensing; stability; tracking; video signal processing; airborne moving platform; attribute graph representation; event analysis; event detection; geospatial context; goal context; image sequence stabilization; modular blocks; moving region detection; moving region tracking; observer motion compensation; quantitative analysis; trajectory inference; video sequences; video streams; Cameras; Data mining; Event detection; Image sequences; Layout; Object detection; Streaming media; Trajectory; Video sequences; Video surveillance;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.946990
  • Filename
    946990